Publication and indexing: ★MLNLP 2022 all accepted and registered papers will be published in the conference proceedings and will be indexed by EI Compendex, Scopus, INSPEC, EI's Engineering Information Index, ISI Thomson's Scientific and Technical Proceedings, ISTP/ISI Proceedings, and Current Contents on Diskette. ★MLNLP 2021 Conference Proceedings have been published by IEEE Conference Publishing Services in the IEEE Xplore (ISBN: 978-1-6654-3757-8) and indexed by Ei Compendex and Scopus successfully within 1 month after publication. ★MLNLP 2020 Conference Proceedings have been published by ACM (ISBN: 978-1-4503-8811-5) and indexed by EI Compendex and Scopus successfully within 1 month after publication! ★MLNLP 2019 Conference Proceedings have been published by ACM (ISBN: 978-1-4503-7261-9) and indexed by EI Compendex and Scopus successfully within 1 month after publication! ★MLNLP 2018 Conference Proceedings have been published by ACM (ISBN: 978-1-4503-6625-0) and indexed by EI Compendex and Scopus successfully within 1 month after publication! *Submission Methods: 1.Online Submission System: https://cmt3.research.microsoft.com/MLNLP2022 2.Submission Email: mlnlp@applied-computing.net 3.Submission guidelines: http://www.mlnlp2022.net/submission.html Contact us: Website: http://www.mlnlp2022.net/ Conference Secretary: Ms. Kathy Tang Tel: +852 63592147 Email: mlnlp@applied-computing.net

Machine Learning

Deep and Reinforcement Learning

Machine Learning for Network Slicing Optimization

Machine Learning for 5G system

Machine Learning for User Behavior Prediction

New Innovative Machine Learning Methods

Optimization of Machine Learning Methods

Performance Analysis of Machine Learning Algorithms

Experimental evaluations of machine learning

Machine learning for multimedia

Machine learning for Internet of Things

Machine learning for security and protection

Distributed and decentralized machine learning algorithms

Natural Language Processing

Phonetics, phonology, and morphology

Syntax, semantics, discourse, pragmatics, dialogue, and lexicon

Mathematical, statistical, machine learning and deep learning models

Word and sentence representation

Language resources and corpora

Electronic dictionaries, terminologies and ontologies

Linked data

POS tagging

Semantic role labelling

Word-sense disambiguation

Multiword expressions

Textual entailment

Anaphora resolution

Language generation

Speech recognition

Text-to-speech synthesis

Multilingual NLP

(for more topics: http://www.mlnlp2022.net/topic.html )